MATEC Web Conf.
Volume 173, 20182018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|Number of page(s)||6|
|Section||Automation and Nontraditional Manufacturing|
|Published online||19 June 2018|
- Y. Li, Z. Gao and J. Li, 2013. Vehicle routing problem in dynamic urban network with real-time traffic information. Systems Engineering-Theory&Practice, 07, 1813-1819. [Google Scholar]
- F. Li and Y. Wei, 2010. Time-dependent vehicle routing algorithm for perishable goods delivery. journal of systems engineering, 04, 492-498+519. [Google Scholar]
- S. Yang, H. Ma and T. Gu, 2010. Simulated Annealing Algorithm for Vehicle Routing Problem with Time Window under Time-Dependent. OR Transactions, 03, 83-90. [Google Scholar]
- Z. Wang, Z. Liu and H. Wang, 2006. Reactive tabu search algorithm for time-dependent vehicle routing problem with backhauls. Computer Integrated Manufacturing Systems, 09, 1453-1458. [Google Scholar]
- Z. Wang, H. Wang and H. Liu, 2005. Mode for bi-objective time dependent vehicle routing problem and its algorithm. Journal of Huazhong University of Science and Technology(Natural Science Edition), 12, 88-91. [Google Scholar]
- J. Tang, W. Shi and L. Meng, 2008. Time-Dependent Dynamic Vehicle Routing Based on Genetic Algorithm. The Journal of Geomatics and Information Science of Wuhan University, 08, 875-879. [Google Scholar]
- Y.Y. Xiao, Q.H. zhao, I. Kaku and Y.C. Xu, 2012. Development of a fuel consumption optimization model for the capacitated vehicle routing problem. Computers & Operations Research 39, 7 (Jul), 1419-1431. DOI= http://dx.doi.org/10.1016/j.cor.2011.08.013. [CrossRef] [Google Scholar]
- J. Zhang, J. Tang, Z. Pan and Y. Kong, 2010. Scatter search algorithm for solving weighted vehicle routing problem. Journal of Systems Engineering, 01, 91-97. [Google Scholar]
- J. Tang, Y. Kong, Z. Pan and Y. dong, 2008. An ant colony optimization algorithm for vehicle routing problem with cargo coefficient. Control Theory&Applications, 04, 699-702. [Google Scholar]
- Y. Chen, 2012. Study on VRP based on improved ant colony optimization. Application Research of Computers, 06, 2031-2034. [Google Scholar]
- S. Li, J. Wang and J. Zeng, 2012. Uncertain linguistic information objectives preference VRPTW of ant colony algorithm. Application Research of Computers, 03, 869-872+876. [Google Scholar]
- R.J. Liu and X.B. Hu, 2012. Ant colony algorithm based on dynamic adjustment of indcremental of pheromone. Application Research of Computers, 01, 135-136+151. [Google Scholar]
- S. Li, J. Wang and J. Zeng, 2011. VRPTW problem solving multi-objective fuzzy preference ant colony algorithm. Application Research of Computers, 12, 4495-4499. [Google Scholar]
- D.K.H.G.Y. Gao, F.L. Wang and Y. Liu, 2011. Multi-agent differential evolution algorithm. Control and Decision, 07, 961-966+972. [Google Scholar]
- Y. Yan, D.W. Wang, D.Z. Wang and H.F. Wang, 2009. Multiagent-Based Evolutionary Algorithm for Dynamic Knapsack Problem. Journal of Northeastern University(Natural Science), 07, 948-951. [Google Scholar]
- Y.Q. Huang, Q. Lu, C.Y. Liang, S.L. Yang and G.S. Hao, 2006. Interactive Multi-Agent evolutionary Algorithm and Its Application. Journal of System Simulation, 07, 2030-2032+2055. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.